CN1655967A - Method for establishing the occupation of a vehicle seat - Google Patents
Method for establishing the occupation of a vehicle seat Download PDFInfo
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- CN1655967A CN1655967A CNA038125420A CN03812542A CN1655967A CN 1655967 A CN1655967 A CN 1655967A CN A038125420 A CNA038125420 A CN A038125420A CN 03812542 A CN03812542 A CN 03812542A CN 1655967 A CN1655967 A CN 1655967A
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- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000007620 mathematical function Methods 0.000 claims description 9
- 238000011156 evaluation Methods 0.000 claims description 2
- 230000011218 segmentation Effects 0.000 claims description 2
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- 238000012935 Averaging Methods 0.000 claims 2
- 230000004069 differentiation Effects 0.000 abstract description 2
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- 230000015572 biosynthetic process Effects 0.000 description 8
- 239000008186 active pharmaceutical agent Substances 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000011088 calibration curve Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 230000004913 activation Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 230000037396 body weight Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/01—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
- B60R21/015—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting the presence or position of passengers, passenger seats or child seats, and the related safety parameters therefor, e.g. speed or timing of airbag inflation in relation to occupant position or seat belt use
- B60R21/01512—Passenger detection systems
- B60R21/01516—Passenger detection systems using force or pressure sensing means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/002—Seats provided with an occupancy detection means mounted therein or thereon
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/01—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
- B60R21/015—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting the presence or position of passengers, passenger seats or child seats, and the related safety parameters therefor, e.g. speed or timing of airbag inflation in relation to occupant position or seat belt use
- B60R21/01512—Passenger detection systems
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Aviation & Aerospace Engineering (AREA)
- Transportation (AREA)
- Air Bags (AREA)
- Force Measurement Appropriate To Specific Purposes (AREA)
- Seats For Vehicles (AREA)
Abstract
The invention relates to a method for differentiating between people and other objects on vehicle seats, by recording and evaluating the pressure distribution caused on the seat by said people and objects, the mean deviation of the signal at a certain position in relation to the mean signal of the adjacent region enabling the differentiation between people and other objects to be made. The invention is advantageous in that only few criteria are required and the criteria are not bound to any specific sensor structures (matricial, discrete etc.). Furthermore, where required, the individual criteria need only be combined in a simple manner.
Description
Technical field
The present invention relates to a kind of method that is used to distinguish people on vehicle seat and other objects, realize by the distribution of pressure that described people or other objects cause on the seat by record and assessment.This method is used in particular for by the difference between an adult or the seat occupancy of a child seat, so that for example under the situation about taking by a child seat, is different from by the taking an of adult, and prevents to start a safety air bag.
Background technology
Car occupant retracts system by safety strap usually, for example grants asylum in case be subjected to the effect of vehicle collision by one or more safety air bags in addition.Should distinguish in this respect, be to take a seat by a child seat or by an adult.Under the situation of child seat, must prevent the release of safety air bag, because it is this may cause fatal harm for the children that are sitting on the child seat, especially true when child seat is aimed at travel direction.Under an adult's situation, should discharge safety air bag, so that protect this adult.
What be worth expectation in addition is, obtains other information about the mode of seat occupancy by the sensing system that participates in, so that can work to this neatly.Therefore, have for example such attempt, that is, a safety air bag is expanded with a kind of intensity that changes according to accident form or the strong degree of collision, replenish when needed and participate in side airbag, on demand with different intensity manoeuvring safety band strainers etc.If determine by the taking an of adult, what then be worth expectation in addition is, accurately discerns its seat position and this is worked neatly.Do not advise making a safety air bag to expand in some cases for an adult's seat position yet, the passenger is caused heavier Health cost because worry.
The whole assessments that are used to address this problem must be considered the validity of expense in addition diligently according to economy, and the method that adopts with toilet can be applicable in the stock production.The sensing system that adopts must be made inexpensively and be incorporated in the automobile, and can safeguard with acceptable expense.
As sensing system special camera chain, optical pickocff and ultrasonic transduter and pressure sensor of adopting in vehicle seat.Though camera chain can provide the information very widely about the process in the passenger accommodation, in this order, be expensive but then, under a stable condition, also to strengthen safeguarding.Use up or the sensor of super sonic work should be noted the problem of covering whole in addition.Pressure sensor in the vehicle seat be can inexpensive manufacturing, durable with reduced-maintenance and do not relate to the problem of covering.
First kind of assessment is limited in determining of gross weight by pressure sensor.This solution is only led away and is not made the people satisfied aspect very most of body weight by backrest and by generally being placed on pin on the car floor an adult.Therefore the lower limit of gross weight always only is provided by the measurement that is incorporated into the sensor in the vehicle seat.Wherein also should consider, the child seat that comprises a safety strap pretension is installed in car, that is be equivalent to the seat to load where necessary than the remarkable higher power of its deadweight.Therefore when gross weight being used as criterion, the boundary evanescence between a light adult and heavier child seat.
For example in open text LU 90106 and US 6,348,663, analyze a people who is seated pressure figure targetedly, seat surface is divided into a plurality of parts and obtains and evaluate distribution of pressure on these parts.Infer people's size or body weight thus, or infer both.Two forms of implementation do not comprise the criterion of difference people and other object.
US 6,243, and 634 have a plurality of sensors in whole seat, that is also are located in the backrest, determine so that reach the improved of weight, center of gravity and position.Seek the improved identification of non-best seat position whereby, for example whether a people is to pre-buckling.But wherein do not relate to the difference between people and other the object, this is not made criterion.
US 5,941,560 and US 6,170,866 in title, obviously list the protection of children in child seat.Prerequisite is to have a not sensing system in greater detail in this two file, and it can discern child seat.As reaction or export a signal, so that notify the driver, or vehicle seat moves after automatically.Wherein do not carry out the analysis of pressure figure.
At US 6,366, distinguished by between the taking of children, an adult or a child seat at vehicle seat in 200.Its criterion at first is a weight, secondly is a sensor of describing with English " living body proximity sensor (living body proximity sensor) ", that is shows near the signal of the sensor the object of an activity.
At US 6,272, the signal of a plurality of sensors of combination in 411 is so that obtain information as far as possible completely about the state of seat occupancy.It can determine that the seat is freely or occupied, and if occupied, then determines it how occupiedly is.The main emphasis point of this invention is to assess dynamic information, that is collecting sensor signal and termly with the calibration of data bank, so that can be produced other information by time response in time.Not only determine about the use of safety air bag or do not use according to these information, and the control of decision expansion strength, side airbag etc.
US 6,252, and 240 utilize a plurality of sensors of combination, optical pickocff, weight and the speed sensor work of privileged site sensitivity.Calculate probability, and control safety air bag according to the situation of maximum probability for situation about determining.Wherein do not comprise the pressure figure analysis that is used for the difference between people and other the object.
Summary of the invention
The objective of the invention is, a kind of method that is used for carrying out Figure recognition on vehicle seat is provided, its distinguish reliably adult and other object, particularly with the difference of child seat.This method also as far as possible structurally is simple and avoids the shortcoming of above-mentioned prior art so far.
Reach by the feature described in the independent claims according to this purpose of the present invention.
First form of implementation of the present invention described in the claim 1 (local flatness criterion) statistical evaluation, the pressure signal a position have many its adjacent domains that are different from doughtily.
Utilize the accessible major advantage of the present invention to be, only need a spot of criterion and these criterions not to be subjected to the restriction of concrete sensor construction (like the matrix, discrete etc.).In addition, must the time need only carry out the simple logic operation of each criterion.Must utilize according to other method of prior art and to expend each criterion of very big algorithm combination.
So-called adjacent domain is understood that on meaning of the present invention each contiguous position belongs to common, a relevant zone.When two at a points in zone can be connected by a connection lead, be correlated with in described zone in mathematics, and described connection lead extends in described zone fully, that is never leaves this zone.
The advantage that should further constitute is basically, relates to a kind of statistical method, and be positioned at the object on the seat or be positioned at the form of the people on the seat irrelevant.
Get rid of an adult when conformation of determining of the form of implementation described in the claim 6 in some zones occurs, described conformation more shows it is technical object on feature with respect to the adult.Technical object in a kind of rectangular transducer arrangements especially, that is child seat for example can easily produce a pressure figure, and a permutation sensor does not provide signal in this pressure figure.Have such child seat, it has two and follows the sled of sailing the direction extension in its bottom surface.In this case, its pressure figure may have row or a multiple row easily, does not wherein have independent sensor that a signal is provided.In fact such setting does not appear in a people the situation.
Form of implementation described in the claim 14 is got rid of an adult when not having or a very little signal only occurs in a definite zone.For example in the rectangular transducer arrangements of child seat, have in present zone of bit pattern in-to-in few, usually do not have sensor signal even fully.
Advantage according to the further formation of claim 6 or 14 is basically, and these further constitute not with absolute force value as the basis.Therefore its concrete calibration curve to a pressure sensor under a kind of situation of discrete distribution of pressure is insensitive, and only under a stable condition position to its cut-in point (Turn-On-Points) be responsive.It generally causes end product with simple conformation in addition.
Description of drawings
Below exemplaryly this method is described by preferred form of implementation.With reference to each accompanying drawing, wherein each identical part is indicated identical mark for this reason.
The scheme drawing that Fig. 1 vehicle seat is taken by an adult;
Fig. 2 is by the scheme drawing that takies of a representative type child seat;
An adult's of Fig. 3 representative type pressure figure;
The representative type pressure figure of a child seat of Fig. 4;
The scheme drawing of Fig. 5 representative type adjacent domain of a single-sensor in transducer arrangements like a kind of matrix;
The scheme drawing of Fig. 6 possibility of the representative type adjacent domain of a single-sensor in transducer arrangements like a kind of non-matrix;
The scheme drawing of Fig. 7 possibility of a conformation in transducer arrangements like a kind of matrix;
The scheme drawing of Fig. 8 possibility of a conformation in transducer arrangements like a kind of non-matrix.
The specific embodiment
Vehicle seat 1 shown in Fig. 1 comprises a seat cushion 2 and an adult 3 who is sitting on this seat cushion who is provided with pressure sensor.Fig. 2 illustrates vehicle seat 1, comprises a child seat selectively fixed thereon 4.
In this preferred form of implementation, it is a kind of by 9 * 12 pressure figures with sensor (9 row, 12 row) formation of 8 (8-Bit) definitions that the sensor mat on seat surface provides.Each sensor there is no need the distribution of complete right angle/rectangular, but quite approaching with it.But should arrange also can change in very big limit.
This pressure figure is checked (inclusive-OR operation) according to the situation of one of following two criterions that are applicable to a child seat.
A kind of preferred form of implementation according to the method for claim 1 is below described in more detail.(" local flatness "):
Except each border sensor, each sensor is calculated mean deviation to its adjacent domain.Suppose with matrix S
IjThe expression sensor values.Row index i extends to 9 from 1 in our example, and column index j extends to 12 from 1.Remove boundary value, that is beyond the value divided by i=1, i=9, j=1 or j=12, to each given S
IjConstitute 3 * 3 submatrixs
That is 3 * 3 such submatrixs, the element S that its center relates to
IjConstitute aviation value respectively by each 3 * 3 submatrix subsequently
And standard deviation
And relative standard deviation
This relative standard deviation is one and measures in order to illustrate how smooth distribution of pressure has at the point that relates to.Distribution of pressure is smooth more, and standard deviation falls more for a short time, and the normalisation by aviation value is important in this case, can compare mutually so that have the each point of different sensor valuess.
The tabulation of these numerical value is divided into two zones for a DS Data Set by means of a boundary value S1 in this preferred form of implementation.Make number N greater than the numerical value of this boundary value
＞boundary valueWith total N
AlwaysCompare, just constitute the merchant
How many sensors are this feature description have depart from its adjacent domain widely.Many more sensors depart from, and this ratio is more little.
As described in starting, for example illustrate among Fig. 3 and 4 for the resulting pressure figure distribution of two schemes shown in (child seat) among (adult) and Fig. 2 in Fig. 1.The signal of each pressure sensor of numeric representation sensor mat wherein.The relation of signal and force value is provided by a calibration curve.Calibration curve at first flatly extends to an initial pressure value (cut-in point), that is pressure sensor does not have signal during the force value below the initial pressure value.Provide a signal in the initial pressure value with upper sensor, described signal is the monotone increasing function of pressure.For boundary value 0.2, aforementioned proportion has 2.26 value in the pressure figure (adult) of Fig. 3, has 1.08 value in the pressure figure (child seat) of Fig. 4.
Difference between child seat and the adult then realizes like this, is N
RelativelySet second boundary value.In the DS Data Set of being studied, particularly size is that 1.22 one second boundary value has proved suitable.Pressure figure is categorized as child seat than low value the time, is the adult when high value.
Obviously, except that described in this preferred form of implementation, also can implement this working of an invention form by other mode, particularly also can adopt bigger submatrix in another comprises the form of implementation of rectangular transducer arrangements, for example adjacent domain evaluated in 4 * 4 or 5 * 5 submatrix.Discrete transducer arrangements also needn't have structure like the matrix, and can exist with the form that freely distributes.A kind of example that is used for transducer arrangements like the matrix of explanation among Fig. 5 is one to be used for the example of transducer arrangements like the non-matrix among Fig. 6.
In another form of implementation, adjacent domain can be for example limits via how much spacings, that is all sensors that is positioned at around the circle of a definite radius of a sensor is considered to adjacent domain.The adjacent domain 11 of a single-sensor 10 for transducer arrangements like a kind of matrix shown in Figure 5 especially.Fig. 6 provides an example that is used to limit the adjacent domain 11 of a single-sensor 10, and described adjacent domain limits at the circle 12 in the geometry spacing of determining of a single-sensor 10 by one.Also can imagine other form of implementation with different adjacent domains that limit.
People also can for example be the definite whole spacings with respect to remaining sensor of each sensor, and these spacings are incrementally arranged, so always can select the adjacent domain that a sensor that ascertains the number is considered as this sensor from this tabulation beginning.
People can obtain another possible definition of adjacent domain, as long as known in the numeral, select another criterion without the Euclid criterion, for example the maxim criterion.For example the parameter of a rectangle is equivalent to have a figure around the radius of determining (Euclid criterion) of a sensor.
These examples should not be understood that, always investigate whole points of association area.Though people must make a relevant field, be considered to contiguous whole points and all be positioned at wherein, Lin Jin each point may not belong to this field yet.
People for example can limit adjacent domain via the Euclid criterion as mentioned above, but significantly the circle center-point are foreclosed.Perhaps people can for example limit adjacent domain via the maxim criterion as mentioned above in transducer arrangements like a kind of matrix, but significantly the diagonal angle element are foreclosed.
Relevant zone is identical in whole points of distribution of pressure not necessarily also.It is for example limiting in the situation of adjacent domain via the Euclid criterion, and the unnecessary radius of circle that makes is identical by whole distribution of pressures.Radius of circle can be for example with one arbitrarily mathematical function change with the position.
Adjacent domain even can be definite like this in a kind of discrete distribution of pressure, and promptly which sensor people make clearly and be considered as contiguous with respect to a definite sensor.
Distribution of pressure also can be continuous in another form of implementation.Therefore said method can for example change into a form of implementation substantially, and makes continuous distribution of pressure assess and this is used this method on a dot matrix of some fulcrums.
A kind of preferred form of implementation (" technique device criterion ") according to the method for claim 6 is below described in more detail:
The exemplary form of implementation of the easiest discrete sensor by the rectangular setting of this method becomes obvious.In a kind of such setting, when all other row provide a signal, for example do not provide signal for the very impossible permutation sensor of an adult's seat figure.But for a technique device, as child seat roughly, for example when it has straight edge, this situation was very possible when the structure angle or fixing was arranged.
People can expand this form of implementation easily, and list other the conformation of (aktive) and unactivated (nicht aktive) row of activation, and described conformation may seldom occur when an adult, but is very possible when technique device.
In this preferred form of implementation, for example select the conformation 111110,111100,001111,111111,011101,111101,101110,001111,101111,111010,111011,110110,110111,010111 of row 4 to 9 to prove to be applicable to the adult, that is each of described conformation all is be evaluated as the adult.One of them 1 row that are suitable for an activation, that is one comprise the row that have greater than each sensor of zero signal.Correspondingly be suitable for unactivated row for one 0, that is be suitable for one wherein all sensors value be zero row.
Certainly, in this preferred form of implementation, enumerate described be restricted to a rectangular transducer arrangements neither be essential.Occur in the subregion of separating, to be handled in the form of implementation of different segmentations of overall area of distribution of pressure having of other.
Special a kind of U-shaped conformation 13 that each sensor has been shown in a kind of transducer arrangements of non-rectangular in a kind of transducer arrangements of rectangular and in Fig. 8 in Fig. 7.This two figure shows that for definite conformation, a kind of transducer arrangements of rectangular is not essential.
Selected form can make a kind of possibility of continuous distribution of pressure become reasonably on the one hand in each claim, sets a boundary value so that the possibility of inhibition noise and provide under the situation of discrete pressure sensor on the other hand.
Following more detailed description is according to a kind of preferred form of implementation (" empty criterion ") of the method for claim 14:
If people investigate a definite subregion of whole pressure figure targetedly, then when the response of any sensor in this subregion, not occurring or only occur very for a short time when being lower than the resultant signal of a definite margin over noise value, the adult can be foreclosed.
In a kind of preferred form of implementation of the present invention, for example distinguish like this between child seat and the adult, promptly people consider intracardiac in a pressure figure zone for this reason.If should select enough greatly in the zone,, only when breaking away from seat position very much, just may not cause the sensor response at this for an adult.Such " cavity " in pressure figure is easy to occur under many child seat situations on the other hand, because these child seats are usually made and made it move load on the edge rather than at the center.
An example is the pressure figure of Fig. 4, this Figure illustrates a child seat.This pressure figure be expert at 4 to 6 and the regional inner sensor value of row 6 to 7 have only zero.On the contrary, Fig. 3 pressure figure of describing an adult has a plurality of sensors that comprise clear signal in this zone.
If people wish bigger antinoise stability, people also can select the zone in the investigation at the center of pressure figure obviously bigger.In this case, be not equal to zero sensor though the fragmentary signal that has also may occur in a child seat, it is few comparing with an adult.Be used for the suitable boundary value realization adult of the resultant signal in this zone and the differentiation between the child seat by one then.
According to a kind of preferred further formation of the present invention, a plurality of criterions are used in combination, this combination is a kind of logic operation of its each expression formula.The repeatedly application of same criterion, but have different parameters, also be a kind of possible scheme in this case.Especially in practice according to a kind of preferred further formation of the present invention, at a child seat (perhaps " non-adult "), by " or " two or all three above-mentioned forms of implementation (criterion) are carried out computing, that is when at least one criterion from wherein with except the adult time, do not relate to an adult.
Draw another further formation by the restriction to DS Data Set, this DS Data Set surpasses a certain boundary value that is used for the summation of sensor values.
Above-mentioned preferred further formation should not be understood that restriction by any way.Can imagine many modifications and not depart from scope of the present invention.
For example never be to adopt a kind of discrete transducer arrangements.The form of implementation that comprises continuous pressure figure is also arranged.On meaning, realize in a kind of situation of continuous distribution of pressure at the resultant signal described in all claims, by on average obtaining of the aviation value group of the sort of mode of general-duty in the mathematics by integral and calculating by the integration of distribution of pressure.
If select a kind of discrete transducer arrangements, will it not constitute rectangular yet.Do not depart from scope of the present invention, in other form of implementation,, each sensor is distributed embark on journey or become row even In one arrangement, also can be with each sensor with a distribution of shapes arbitrarily, and in adjacent domain only by the qualification of geometry spacing between each sensor.For example a pressure figure that is made of the pressure sensor of any distribution can also make up like this with the appraisal procedure of a row or column orientation, a promptly middle interpolating function or the fitting function (Interpolations-oder Fitfunktion) of connecting.In this case, the force value that distributes is used as the such interpolating function or the fulcrum of fitting function arbitrarily, then itself is read on the each point that distributes that for example meets at right angles once more.In this form of implementation, interpolating function value or the match value of reading by the algorithm evaluation only.
Pressure figure can be preferably by weight function or calibration correct.In further constituting, can also after summation formation or aviation value formation, implement the operation of another mathematics equally, and not depart from scope of the present invention.
Claims (28)
1. be used to distinguish the method for people on vehicle seat and other objects, realize by the distribution of pressure that described people or other objects cause on the seat by record and assessment, it is characterized in that, between people and other object, have any different in the mean deviation of the average signal of a locational signal and its adjacent domain.
2. in accordance with the method for claim 1, it is characterized in that, obtain in the mean deviation of the affiliated average signal of the adjacent domain of a plurality of locational signals and these sensors and derive an end value thus, described end value is had any different between people and other object.
3. according to claim 1 or 2 described methods, it is characterized in that, make wherein at least one signal before averaging, obey a kind of mathematical function.
4. according to claim 1 or 2 described methods, it is characterized in that, after averaging, adopt a kind of mathematical function.
5. according to one of claim 3 or 4 described method, it is characterized in that described mathematical function is monotonically increasing or monotone decreasing.
6. be used to distinguish the method for people on vehicle seat and other objects, realize by the distribution of pressure that described people or other objects cause on the seat by record and assessment, it is characterized in that, obtain therein in the segmentation in zone of described distribution of pressure, in the subregion, the conformation of determining evaluation from active region to the un-activation zone is the people, and wherein active region is understood that, a resultant signal in this zone is higher than a definite boundary value.
7. in accordance with the method for claim 6, it is characterized in that each subregion is contiguous.
8. in accordance with the method for claim 6, it is characterized in that each subregion is not overlapped.
9. according to one of claim 6 to 8 described method, it is characterized in that each is subregional in conjunction with constituting described overall area.
10. according to one of claim 6 to 9 described method, it is characterized in that, make wherein at least one signal a kind of mathematical function of obedience before constituting resultant signal.
11. in accordance with the method for claim 10, it is characterized in that described mathematical function is monotonically increasing or monotone decreasing.
12., it is characterized in that resultant signal is being obeyed a kind of mathematical function with boundary value before relatively according to one of claim 6 to 11 described method.
13. in accordance with the method for claim 12, it is characterized in that described mathematical function is monotonically increasing or monotone decreasing.
14. be used to distinguish the method for people on vehicle seat and other objects, realize by the distribution of pressure that described people or other objects cause on the seat by record and assessment, it is characterized in that, in the subregion in a zone that distribution of pressure occurs, constitute a resultant signal, and derive an end value by this resultant signal and a boundary value, described end value is had any different between people and other objects.
15. in accordance with the method for claim 14, it is characterized in that described subregion comprises a central area, one of them central area is understood that not comprise a subregion of marginal portion.
16. according to one of an aforesaid right requirement described method, it is characterized in that, only in a subregion, carry out described assessment.
17. one of require a described method, it is characterized in that a kind of mathematics and function time correlation are obeyed in described assessment according to aforesaid right.
18. in accordance with the method for claim 17, it is characterized in that described mathematical function is for to average by the time.
19. the method according to a kind of selection of described claim is characterized in that, the result of the difference gained between people and other objects of corresponding each claim is carried out logic operation mutually.
20. in accordance with the method for claim 19, it is characterized in that described logic operation is a kind of AND operation.
21. in accordance with the method for claim 19, it is characterized in that described logic operation is a kind of inclusive-OR operation.
22. according to claim 20 or 21 described methods, it is characterized in that, implementing before the described logic operation that at least one branch result is wherein carried out NOT operation.
23. at least one described method according to claim 19 to 22 is characterized in that, can make up multiple logic operation mutually on the meaning of a mathematics parantheses.
24. one of require a described method, it is characterized in that the zone of obtaining distribution of pressure therein is one to comprise the sensor mat of many pressure sensors according to aforesaid right.
25. in accordance with the method for claim 24, it is characterized in that sensor mat comprises at least three sensors.
26., it is characterized in that the pressure figure that the total strong degree of distribution of pressure is lower than a definite boundary value is not evaluated and is the people according to one of an aforesaid right requirement described method.
27., it is characterized in that each contiguous point belongs to common, a relevant zone according to one of an aforesaid right requirement described method.
28. in accordance with the method for claim 27, it is characterized in that a relevant zone is understood that two at a points in this zone can be connected by a connection lead, this connection lead extends in this zone fully.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE10217690.6 | 2002-04-19 | ||
| DE10217690 | 2002-04-19 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN1655967A true CN1655967A (en) | 2005-08-17 |
| CN100402351C CN100402351C (en) | 2008-07-16 |
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ID=29224624
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNB038125420A Expired - Lifetime CN100402351C (en) | 2002-04-19 | 2003-04-09 | Method for establishing the occupation of a vehicle seat |
Country Status (9)
| Country | Link |
|---|---|
| US (1) | US7567184B2 (en) |
| EP (1) | EP1497161B1 (en) |
| JP (1) | JP4336587B2 (en) |
| KR (1) | KR20050005453A (en) |
| CN (1) | CN100402351C (en) |
| AU (1) | AU2003240389A1 (en) |
| DE (3) | DE10239604A1 (en) |
| ES (1) | ES2292969T3 (en) |
| WO (1) | WO2003089276A1 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102424027A (en) * | 2011-11-14 | 2012-04-25 | 江苏大学 | Device and method for identifying passenger type and sitting posture based on sitting trace |
| CN104334401A (en) * | 2012-05-10 | 2015-02-04 | Iee国际电子工程股份公司 | Pressure-responsive seat occupancy sensor unit |
| CN106314344A (en) * | 2015-06-29 | 2017-01-11 | 长城汽车股份有限公司 | Automobile passenger classifying sensor, passenger classifying detector and automobile |
Families Citing this family (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7766383B2 (en) * | 1998-11-17 | 2010-08-03 | Automotive Technologies International, Inc. | Vehicular component adjustment system and method |
| DE102004022373B4 (en) * | 2004-05-06 | 2006-03-16 | W.E.T. Automotive Systems Ag | Multilayer sewn system |
| JP4393965B2 (en) * | 2004-10-18 | 2010-01-06 | 本田技研工業株式会社 | Crew protection device |
| DE102005014526A1 (en) * | 2005-03-30 | 2006-10-05 | Siemens Ag | Apparatus and method for distinguishing a person from an object on a vehicle seat |
| DE102005014515A1 (en) * | 2005-03-30 | 2006-10-05 | Siemens Ag | Apparatus and method for distinguishing a person from an object on a vehicle seat |
| DE102005014780B4 (en) * | 2005-03-31 | 2008-06-19 | Siemens Ag | Method and evaluation device for detecting a child seat on a seat of a motor vehicle |
| ITTO20050084U1 (en) * | 2005-06-22 | 2006-12-23 | Bruno Farelli | POSITION SENSOR FOR THE SEAT OF A MOTOR VEHICLE. |
| DE102006019712B4 (en) * | 2006-04-27 | 2008-03-06 | Siemens Ag | Method and device for classifying passengers in a means of transport |
| DE102006023466A1 (en) * | 2006-05-18 | 2007-11-22 | Siemens Ag | Switch arrangement, sensor arrangement, method and apparatus for distinguishing a seat occupancy of a vehicle seat |
| DE102006056920B4 (en) * | 2006-12-02 | 2019-07-04 | GM Global Technology Operations LLC (n. d. Ges. d. Staates Delaware) | Sensor device for the seat of a means of transport |
| DE102009016051A1 (en) * | 2009-04-02 | 2010-10-07 | Bayerische Motoren Werke Aktiengesellschaft | Method for producing a carrying tray for a seat |
| DE102010023892B4 (en) | 2010-01-30 | 2020-04-02 | Volkswagen Ag | Method for seat occupancy detection for a vehicle, pressure detection arrangement, device for seat occupancy detection, vehicle seat and vehicle |
| US9854138B2 (en) * | 2012-09-20 | 2017-12-26 | Gyrus Acmi, Inc. | Fixed pattern noise reduction |
| US10627538B2 (en) * | 2017-03-31 | 2020-04-21 | Jason Hergott | Occupancy detection systems and methods |
| US10416671B2 (en) * | 2017-07-11 | 2019-09-17 | Waymo Llc | Methods and systems for vehicle occupancy confirmation |
| KR102093452B1 (en) * | 2019-04-23 | 2020-03-25 | (주)대풍이브이자동차(Ev) | Vehicle safety assistant apparatus that can protect the driver by controlling the start of the vehicle through driver seat detection and operating method thereof |
| KR102357519B1 (en) * | 2020-11-30 | 2022-02-07 | 한국생산기술연구원 | Fabric body pressure sensor, method for generating body pressure profile and method for using information of collected body pressure |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5482314A (en) * | 1994-04-12 | 1996-01-09 | Aerojet General Corporation | Automotive occupant sensor system and method of operation by sensor fusion |
| US5732375A (en) * | 1995-12-01 | 1998-03-24 | Delco Electronics Corp. | Method of inhibiting or allowing airbag deployment |
| DE69707906T2 (en) * | 1996-10-03 | 2002-06-27 | I.E.E. International Electronics & Engineering S.A.R.L., Luxemburg/Luxembourg | Method and device for determining various parameters of a person sitting on a seat |
| DE19648267C5 (en) * | 1996-11-21 | 2004-06-03 | Siemens Ag | Control device for a restraint in a motor vehicle |
| US6252240B1 (en) * | 1997-04-25 | 2001-06-26 | Edward J. Gillis | Vehicle occupant discrimination system and method |
| US5941560A (en) * | 1997-06-05 | 1999-08-24 | Siemens Automotive Corporation | Method and system for protecting child seat passengers |
| LU90106B1 (en) * | 1997-07-18 | 1999-01-19 | Iee Sarl | Method and device for detecting various parameters of a person sitting on a base |
| AU1402599A (en) * | 1997-11-12 | 1999-05-31 | Siemens Automotive Corporation | A method and system for determining weight and position of vehicle seat occupant |
| JP2001116614A (en) * | 1999-09-07 | 2001-04-27 | Takata Corp | Deciding method for object on seat and deciding method for air bag unfolding mode |
| AU2001259763A1 (en) * | 2000-05-10 | 2001-11-20 | Michael W. Wallace | Vehicle occupant classification system and method |
| US6735508B2 (en) * | 2000-07-12 | 2004-05-11 | Siemens Ag | Hardware independent mapping of multiple sensor configurations for classification of persons |
| DE10047189C1 (en) * | 2000-09-23 | 2002-02-21 | Bosch Gmbh Robert | Seat occupant classification method for automobile passenger seat uses evaluation of seating profile provided by pressure sensor matrix |
| DE10047191A1 (en) * | 2000-09-23 | 2002-05-02 | Bosch Gmbh Robert | Determining sitting position of object on vehicle seat so that in vehicle seat mat with sensor matrix is used so that by means of sensor matrix a sitting profile of object is determined |
| US6487483B1 (en) * | 2001-06-01 | 2002-11-26 | Trw Inc. | System and method of occupant sensing |
| DE10223218B4 (en) * | 2001-07-02 | 2010-04-08 | Continental Automotive Gmbh | Device and method for seat occupancy detection in a motor vehicle |
-
2002
- 2002-08-28 DE DE10239604A patent/DE10239604A1/en not_active Ceased
-
2003
- 2003-04-09 DE DE50308411T patent/DE50308411D1/en not_active Expired - Lifetime
- 2003-04-09 ES ES03729824T patent/ES2292969T3/en not_active Expired - Lifetime
- 2003-04-09 CN CNB038125420A patent/CN100402351C/en not_active Expired - Lifetime
- 2003-04-09 EP EP03729824A patent/EP1497161B1/en not_active Expired - Lifetime
- 2003-04-09 DE DE10391845T patent/DE10391845D2/en not_active Expired - Fee Related
- 2003-04-09 AU AU2003240389A patent/AU2003240389A1/en not_active Abandoned
- 2003-04-09 KR KR10-2004-7016774A patent/KR20050005453A/en not_active Application Discontinuation
- 2003-04-09 WO PCT/DE2003/001164 patent/WO2003089276A1/en active IP Right Grant
- 2003-04-09 JP JP2003586004A patent/JP4336587B2/en not_active Expired - Lifetime
-
2004
- 2004-10-15 US US10/964,809 patent/US7567184B2/en not_active Expired - Lifetime
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102424027A (en) * | 2011-11-14 | 2012-04-25 | 江苏大学 | Device and method for identifying passenger type and sitting posture based on sitting trace |
| CN104334401A (en) * | 2012-05-10 | 2015-02-04 | Iee国际电子工程股份公司 | Pressure-responsive seat occupancy sensor unit |
| CN106314344A (en) * | 2015-06-29 | 2017-01-11 | 长城汽车股份有限公司 | Automobile passenger classifying sensor, passenger classifying detector and automobile |
Also Published As
| Publication number | Publication date |
|---|---|
| AU2003240389A1 (en) | 2003-11-03 |
| EP1497161A1 (en) | 2005-01-19 |
| DE10239604A1 (en) | 2003-11-13 |
| ES2292969T3 (en) | 2008-03-16 |
| DE50308411D1 (en) | 2007-11-29 |
| CN100402351C (en) | 2008-07-16 |
| JP2005526658A (en) | 2005-09-08 |
| WO2003089276A1 (en) | 2003-10-30 |
| US20080204211A1 (en) | 2008-08-28 |
| JP4336587B2 (en) | 2009-09-30 |
| EP1497161B1 (en) | 2007-10-17 |
| US7567184B2 (en) | 2009-07-28 |
| KR20050005453A (en) | 2005-01-13 |
| DE10391845D2 (en) | 2005-04-07 |
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